Publication Search

This study evaluates the policy implementation of the face recognition system at Surabaya Gubeng Station as a digital innovation in public service by PT Kereta Api Indonesia (Persero). Using a qualitative approach and the policy evaluation model by William N. Dunn, the study assesses six key indicators: effectiveness, efficiency, adequacy, responsiveness, accuracy, and equity. The findings indicate that the system is effective in accelerating the boarding process, reducing queues, and improving passenger convenience. Efficiency is achieved through reduced staff workload and automated identity verification. However, several challenges remain, including technical disruptions, data input errors, and low digital literacy among users. Personal data protection is also a concern as most users are not fully aware of how their biometric data is managed. Therefore an adaptive governance strategy is needed, involving infrastructure improvement, staff training, public education, and greater transparency in data policy. With these measures, the face recognition system can serve not only as a tool for technical efficiency but also as a form of inclusive and sustainable public service transformation.

The SIAP application (Presence Activation Information System) has been implemented at the Personnel and Human Resources Development Agency since 2022. Although good attendance has been the first step, it also requires optimal bureaucratic performance as an effort to achieve institutional goals. The purpose of this study is to evaluate whether the use of the SIAP Application (Presence Activation Information System) has an influence on employee performance at the Personnel and Human Resources Development Agency (BKPSDM). This study used quantitative methods and involved the entire population, namely 38 employees of the Civil Service and Human Resources Development Agency. Data collection was carried out through distributing questionnaires to all BKPSDM employees as respondents, documentation and observation. The results of the analysis using the T test show that the significant value (0.002) is smaller than the probability of 0.05. Therefore, it can be concluded that the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted, which means "The use of the SIAP application has an influence on employee performance (Y)." Although the SIAP Application Usage Variable (X) and the Employee Performance Variable (Y) are related, respondents' responses show some shortcomings related to the use of the SIAP Application (Presence Activation Information System), such as unstable network access constraints. Nevertheless, good attendance still has a positive effect on improving employee performance. Employee Performance Evaluation shows deficiencies in the indicators of Quality, Quantity, Timeliness, and Independence.